{"id":"W4382699443","doi":"10.1142/9789811263033_0010","title":"Phase Locking and Lyapunov Exponent Behavior in Brain Networks of Epileptic Patients","year":2023,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Ontario Brain Institute; University of Calgary; University of Victoria","funders":"","keywords":"Lyapunov exponent; Neuroscience; Epilepsy; Psychology; Phase locking; Phase (matter); Statistical physics; Physics; Nonlinear system; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007252058,0.0001127068,0.00007039651,0.0002109287,0.00007600746,0.0002000167,0.0001132603,0.0001251358,0.001623488],"category_scores_gemma":[0.0006201433,0.00005769972,0.0000552821,0.0001526878,0.0001672842,0.0003395516,0.0001052725,0.0001393865,0.0001206066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009417893,"about_ca_system_score_gemma":0.00003835187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002394123,"about_ca_topic_score_gemma":0.0003234649,"domain_scores_codex":[0.9999869,0.000003836723,8.170843e-7,0.00000386331,0.000002706504,0.000001866793],"domain_scores_gemma":[0.9999024,0.00007300073,0.000008798841,0.000004598949,0.000005008669,0.000006145118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001136574,0.0001780004,0.0582996,0.0003575749,0.0001426793,0.003830679,0.003554322,0.0917331,0.2012231,0.1865529,0.0112573,0.4417342],"study_design_scores_gemma":[0.00004709962,0.000451332,0.194565,0.00007533068,0.00005232455,0.006638093,0.001056167,0.4531039,0.01870988,0.3134366,0.01181004,0.00005436281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483495,0.00238538,0.03021018,0.0003802193,0.00005440788,0.00001279096,0.0002472533,0.0001012878,0.01825903],"genre_scores_gemma":[0.9922664,0.0005861362,0.002131428,0.00002058643,0.00002140232,0.000008918701,0.00006797882,0.00002083997,0.004876252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001623488,"threshold_uncertainty_score":0.005431116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620136703111125,"score_gpt":0.2669213083258313,"score_spread":0.22071994129472,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}